tate@programs ~/services/agentic-commerce-product-data-audit catalog proof / policy evidence / agent discovery

AI-referred retail / UCP / ACP / MCP / May 2026

Prove the catalog before shopping agents decide what gets bought.

A fixed $750 outside proof packet for product-data platforms, marketplaces, retailers, and commerce-agent teams that need catalog, policy, checkout, and update evidence before agentic traffic reaches buyers.

send catalog surface sample report general packet

price: $750
surface: one catalog
delivery: 3 days

catalog.proof

$ audit catalog --agentic-commerce
inputs:
  product or marketplace URL
  launch claim
  approved public scope

readback:
  llms.txt / agents.md
  product and policy schema
  UCP / ACP / MCP pointers
  images, identifiers, variants
  returns, shipping, availability
  checkout and handoff boundary

output:
  buyer-proof evidence map
  missing fields and stale paths
  first patch order

Why now

Agentic commerce shifted from future story to catalog operations problem.

AI shopping surfaces are starting to reward complete, structured product data. The commercial risk is quiet: products do not always fail loudly; they simply stop being recommended.

AI referral pressure

ChannelEngine's Spring '26 launch cites AI-referred retail traffic growth and names UCP, ACP, Google AI Mode, Microsoft Copilot, and LLM checkout as new channel pressure.

source

Agent checkout

Universal Cart, UCP, ACP, and MCP-style commerce surfaces make product data, policy pages, and checkout handoffs part of an agent-readable contract.

Buyer proof

Retail, marketplace, and PIM teams need a portable evidence packet before they ask partners or enterprise buyers to trust agentic discovery.

Packet contents

One approved surface, one proof map.

request audit

discover

Agent-readable entry points

llms.txt, llms-full.txt, agents.md, UCP profiles, MCP pointers, sitemap coverage, robots, and canonical product paths.

catalog

Product-data authority

Identifiers, variants, images, dimensions, attributes, availability, price, merchant scope, update cadence, and generated-field review boundaries.

policy

Buying conditions

Returns, shipping, taxes, substitutions, restrictions, warranties, support, account handoff, and what an agent should not infer.

checkout

Action boundary

Cart, checkout, payment, order status, refunds, post-purchase actions, and the point where public proof must stop without authorization.

Fit

Built for the teams caught between SEO, product data, and agentic checkout.

platforms

PIM, marketplace, and catalog tools

Turn AI-shopping claims into proof that product data is discoverable, structured, current, and bounded.

retail

Retailers and DTC brands

Check one product line, collection, or store surface before depending on agent referrals or cart handoffs.

agencies

Ecommerce and CRO agencies

Use the packet as a client-safe technical appendix for AI Mode, UCP, ACP, Merchant Center, Shopify, and marketplace work.

Boundary

Public-only by default. Private-first when the report is useful.

No login, no cart mutation, no payment, no private endpoint guessing, no customer-system probing, and no public framing without sign-off. If checkout, account, or payment proof needs private access, it becomes a separate approved scope.

Ready

Send one catalog or commerce-agent surface.

The fastest useful intake is a URL plus the claim that has to survive buyer scrutiny.

send catalog surface